Text Generation Models

Browse AI models for multimodal decomposition and recomposition pipelines: plug any model into your extractors.

828 models available

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Showing 241-264 of 828 models

Text Generation

unsloth/Meta-Llama-3.1-8B-Instruct

336K

transformers

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Text Generation

decart-ai/Kimi-K2.7-Code-NVFP4

335K

Model Optimizer

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Text Generation

LiquidAI/LFM2.5-1.2B-Instruct-GGUF

330K

196

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Text Generation

EleutherAI/pythia-410m

329K

transformers

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Text Generation

rinna/japanese-gpt-neox-small

328K

transformers

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Text Generation

trl-internal-testing/tiny-CohereForCausalLM

326K

transformers

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Text Generation

EleutherAI/gpt-neo-125m

325K

228

transformers

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Text Generation

llamafactory/tiny-random-Llama-3

325K

transformers

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Text Generation

Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4

323K

transformers

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Text Generation

unsloth/Qwen3-8B-GGUF

321K

140

transformers

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Text Generation

nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

316K

297

transformers

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Text Generation

Qwen/Qwen2.5-3B

314K

199

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Text Generation

huggyllama/llama-7b

310K

360

transformers

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Text Generation

XiaomiMiMo/MiMo-V2.5

308K

367

transformers

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Text Generation

janhq/Jan-v3.5-4B-gguf

307K

transformers

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Text Generation

trl-internal-testing/tiny-GemmaForCausalLM

306K

transformers

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Text Generation

mistralai/Mistral-7B-Instruct-v0.1

306K

1,845

transformers

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Text Generation

trl-internal-testing/tiny-LlamaForCausalLM-3

305K

transformers

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Text Generation

nvidia/NVIDIA-Nemotron-Nano-9B-v2

304K

506

transformers

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Text Generation

unsloth/GLM-4.7-Flash

304K

transformers

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Text Generation

google/gemma-2-9b-it

303K

839

transformers

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Text Generation

QCRI/Fanar-1-9B-Instruct

297K

transformers

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Text Generation

deepseek-ai/DeepSeek-V3.2-Exp

294K

992

transformers

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Text Generation

LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct-AWQ

294K

transformers

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Full changelog

Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models: plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.